llm-c-evaluation.yml

name: LLM C-Eval

# Cancel previous runs in the PR when you push new commits
concurrency:
  group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number || github.run_id }}
  cancel-in-progress: true

permissions:
  contents: read

# Controls when the action will run.
on:
  schedule:
    - cron: "00 15 * * *" # GMT time, 15:00 GMT == 23:00 Beijing Time
  pull_request:
    branches: [main]
    paths:
      - ".github/workflows/llm-ceval.yml"
  # Allows you to run this workflow manually from the Actions tab
  workflow_dispatch:
    inputs:
      model_name:
        description: 'Model names, separated by comma and must be quoted.'
        required: true
        type: string
      precision:
        description: 'Precisions, separated by comma and must be quoted.'
        required: true
        type: string
      runs-on:
        description: 'Labels to filter the runners, separated by comma and must be quoted.'
        default: "accuracy"
        required: false
        type: string

# A workflow run is made up of one or more jobs that can run sequentially
jobs:
  llm-cpp-build:
    uses: ./.github/workflows/llm-binary-build.yml
    with:
      platform: 'Linux'
  # Set the testing matrix based on the event (schedule, PR, or manual dispatch)
  set-matrix:
    runs-on: ubuntu-latest
    outputs:
      model_name: ${{ steps.set-matrix.outputs.model_name }}
      precision: ${{ steps.set-matrix.outputs.precision }}
      runner: ${{ steps.set-matrix.outputs.runner }}
    steps:
      - name: set-nightly-env        
        if: ${{github.event_name == 'schedule'}}
        env:
          NIGHTLY_MATRIX_MODEL_NAME: '["chatglm2-6b","chinese-llama2-7b", "Qwen-7B-Chat"]'
          NIGHTLY_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
          NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]'
        run: |
            echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV
            echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV
            echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV

      - name: set-pr-env
        if: ${{github.event_name == 'pull_request'}}
        env:
          PR_MATRIX_MODEL_NAME: '["Qwen-7B-Chat"]'
          PR_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
          PR_LABELS: '["self-hosted", "llm", "temp-arc01"]'
        run: |
            echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV
            echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV
            echo "runner=$PR_LABELS" >> $GITHUB_ENV
      - name: set-manual-env
        if: ${{github.event_name == 'workflow_dispatch'}}
        env:
          MANUAL_MATRIX_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}}
          MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}}
          MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}}
        run: |
            echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV
            echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV
            echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV
      - name: set-matrix
        id: set-matrix
        run: |
            echo "model_name=$model_name" >> $GITHUB_OUTPUT
            echo "precision=$precision" >> $GITHUB_OUTPUT
            echo "runner=$runner" >> $GITHUB_OUTPUT
  llm-ceval-evaluation:
    timeout-minutes: 1200
    needs: [llm-cpp-build, set-matrix]
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.9"]
        model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
        precision: ${{ fromJson(needs.set-matrix.outputs.precision) }}
        device: [xpu]
          
    runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }}
    env:
      ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
      ORIGIN_DIR: /mnt/disk1/models
      CEVAL_HF_HOME: /mnt/disk1/ceval_home
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install dependencies
        shell: bash
        run: |
          python -m pip install --upgrade pip
          python -m pip install --upgrade setuptools==58.0.4
          python -m pip install --upgrade wheel

      - name: Download llm binary
        uses: ./.github/actions/llm/download-llm-binary
        with:
          platform: 'Linux'

      - name: Run LLM install (all) test
        uses: ./.github/actions/llm/setup-llm-env
        with:
          extra-dependency: "xpu_2.1"
      
      - name: Download models and datasets
        shell: bash
        run: |
          echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
          MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
          if [ ! -d $CEVAL_HF_HOME ]; then
            mkdir -p $CEVAL_HF_HOME
          fi
          if [ ! -d "$CEVAL_HF_HOME/data" ]; then
            mkdir -p "$CEVAL_HF_HOME/data"
          fi
          if [ -d "$CEVAL_HF_HOME/data/dev" ]; then
              rm -rf "$CEVAL_HF_HOME/data/dev"
          fi

          if [ -d "$CEVAL_HF_HOME/data/test" ]; then
              rm -rf "$CEVAL_HF_HOME/data/test"
          fi

          if [ -d "$CEVAL_HF_HOME/data/val" ]; then
              rm -rf "$CEVAL_HF_HOME/data/val"
          fi
          wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/ceval-exam.zip -P "$CEVAL_HF_HOME/data"
          echo "DATA_PATH=$CEVAL_HF_HOME/data" >> "$GITHUB_ENV"
          DATA_PATH=$CEVAL_HF_HOME/data
          unzip -o "$CEVAL_HF_HOME/data/ceval-exam.zip" -d "$CEVAL_HF_HOME/data"
          wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR}
          
      - name: Install Dependencies
        shell: bash
        run: |
          pip install einops
          pip install thefuzz
          pip install tiktoken
          pip install transformers==4.31.0
          pip install transformers_stream_generator

      - name: Run C-Eval
        shell: bash
        working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/ceval
        env:
          USE_XETLA: OFF
          SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1
        run: |
          source /opt/intel/oneapi/setvars.sh
          python eval.py \
          --model_path ${MODEL_PATH} \
          --eval_type validation \
          --device xpu \
          --eval_data_path ${DATA_PATH} \
          --qtype ${{ matrix.precision }}
        
      - uses: actions/upload-artifact@v3
        with:
          name: ceval_results
          path:
            ${{ github.workspace }}/python/llm/dev/benchmark/ceval/results/**

  llm-ceval-summary:
    if: ${{ always() }}
    needs: llm-ceval-evaluation
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python 3.9
        uses: actions/setup-python@v4
        with:
          python-version: 3.9
      - name: Download all results
        uses: actions/download-artifact@v3
        with:
          name: ceval_results
          path: results
      - name: Summarize the results
        shell: bash
        run: |
          ls results
          python ${{ github.workspace }}/python/llm/dev/benchmark/ceval/organize_results.py results/